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Large Model Algorithm Engineer - Global Payment - Singapore

ByteDance

Singapore

On-site

SGD 80,000 - 100,000

Full time

Yesterday
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Job summary

A global technology firm in Singapore is looking for a Large Model Algorithm Engineer. You will optimize large model performance using advanced techniques and design Agent architectures for various applications. Proficiency in programming languages such as Python or C++, and familiarity with NLP, CV, and ML technologies is essential. The candidate should demonstrate analytical skills and have a passion for solving complex problems. The position offers a chance to work on innovative projects within a diverse team.

Qualifications

  • Excellent programming fundamentals and proficiency in Python or C++.
  • Familiar with NLP, CV, and ML technologies.
  • Experience with fine-tuning and training frameworks.

Responsibilities

  • Optimize large model performance using advanced techniques.
  • Design and build Agent architectures for various applications.
  • Research new businesses and find effective solutions.

Skills

Programming fundamentals
Proficiency in Python or C++
NLP technologies
CV technologies
ML technologies
Analytical skills
Problem-solving skills
Communication skills
Teamwork skills
Experience in competitions like ACM/ICPC

Tools

LLama Factory
Verl
vLLM
Qwen
DeepSeek
Job description
Large Model Algorithm Engineer - Global Payment - Singapore

Location: Singapore

Team: Machine learning

Employment Type: Regular

Job Code: A243878A

Responsibilities
  • Gain deep understanding of business requirements and optimize large model performance using SFT, RLVR, Agent RL for information extraction, intent classification, and tool calling in intelligent debt collection, customer service, and AIOps scenarios.
  • Design and build Agent architectures, including ReAct, Plan-Act, Generate‑Verifier, and Multi‑Agent, and explore Agent Test‑Time‑Scaling technology based on large model system boundaries.
  • Follow the latest LLM research, actively research new businesses, and find the best solutions based on a full understanding of business scenarios.
Qualifications
  • Excellent programming fundamentals and proficiency in at least one programming language such as Python or C++.
  • Familiar with technologies related to NLP, CV, and ML, and deep dive into the LLM tech stack (Reward Model, GRPO/PPO/DPO, SFT/RFT, etc.).
  • Proficient with common open‑source model fine‑tuning and training frameworks such as LLama Factory and Verl, familiar with inference acceleration frameworks such as vLLM, and understand the principles and implementations of open‑source large models such as Qwen and DeepSeek.
  • Excellent analytical and problem‑solving abilities, passion for challenging problems, and good communication and teamwork skills.
  • Experience training, fine‑tuning, and delivering well‑known large models in the industry, or experience implementing large model application products in the industry, or published papers in top conferences related to large models.
  • Wins in competitions such as ACM/ICPC, NOI/IOI, Top Coder, and Kaggle.
Job Information

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut, and Pico, ByteDance has made it easier and more fun for people to connect, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity, and enrich life – a mission we work towards every day.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. By celebrating diverse voices, we create an environment that reflects the communities we reach.

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